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Our site in Santa Clara, CA is looking for a Senior Staff Scientist - Real World Evidence and Data Science. Work with varied data types, including insurance claims data, electronic health records, imaging data, and clinical study or registry data.
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Working knowledge of thin film industry (e.g., semiconductor, data storage, display/flat panel, advanced coatings) Working knowledge of thin film industry (e.g., semiconductor, data storage, display/flat panel, advanced coatings.
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BS degree in Linguistic, Data, or Business Operations/Management related fields (E.g. Linguistics, Applied Linguistics, Computational Linguistics, Data Engineering, Data Science, etc.
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Expert level in Designing and Architect solutions in Azure Data factory, Azure Databricks, Azure Datalake, Delta Lake and Azure synapse analytics implementation. Have good experience configuring Microservices using Docker, Kubernetes on Azure Data Bricks.
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Data Science & Machine Learning Engineer will be responsible for developing state-of-the-art data processing pipeline based on machine learning models and leveraging data science algorithms to parse substantial data and logs in timely manner to automatically tackle the issues or provide recommendations for the next step of solving problem.
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Minimum of seven (7) years’ experience in a corporate legal department, law firm, or government agency advising clients on data privacy issues, including product counseling, data governance oversight, litigation management, and contracting.
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Since then, we've developed a full line of products that drive 4G and 5G infrastructure; enable data center, metro and long-haul optical interconnects; bring 10Gbit to the home; power the IoT revolution; and enable robust and reliable communication in harsh industrial environments.
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The Company’s end markets benefit from meaningful secular demand tailwinds, and include factory automation, food & beverage, aerospace, medical, data center, warehouse, alternative energy, residential and commercial buildings, general industrial, construction, metals and mining, and agriculture.
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About Supermicro: Supermicro is a Top Tier provider of advanced server, storage, and networking solutions for Data Center, Cloud Computing, Enterprise IT, Hadoop/ Big Data, Hyperscale, HPC and IoT/Embedded customers worldwide.
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5+ years of hands-on experience developing a distributed data processing platform with Hadoop, Hive or Spark, Airflow or a workflow orchestration solution are required. Create data pipelines using Apache Hive, Apache Spark, Apache Kafka.
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Minimum of 15 years of Software Engineering experience to include serving in the capacity of Director/CTO/Chief/Principal Engineer position for AI Machine Learning / Deep Learning solutions applied across different industry verticals and different data modalities.
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Data analytic experience working with BI/Business Objects/WEBi/Data Lake/SQL/Tableau/Power BI or other business dashboard and data visualization tools. Develop testing and data conversion strategies.
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Operating TEM tools to obtain TEM/STEM images, SAED, EDS and EELS data from samples. Creating summary reports to capture the project objectives, analysis data and interpretation of the results.
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Architect and drive the end-end Big Data deployment automation from vision to delivering the automation of Big Data foundational modules (Cloudera CDP), prerequisite components and Applications leveraging Ansible, Puppet, Terraform, Jenkins, Docker, Kubernetes to deliver end-end deployment automation across all ServiceNow environments.
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Direct and manage overall strategy and roadmap for data modelling that serves as key Compliance controls to detect and deter illicit activity, e.g., Customer Risk Rating model, transaction monitoring systems and tooling, network analysis, etc.
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data job Title: informatica Company: Skybridge Resources in San Jose, CA
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